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Wan 2.7 Image

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Wan 2.7 Image is a closed-weights image model from Alibaba, released April 2026.

Model information sources

Release date ↗

61.7±1.7#34 of 144 image modelsfrom 3 benchmark results across 2 sources

Score within the LMArena text-to-image comparison set only.

$ how it compares

The image models ranked either side of Wan 2.7 Image, out of 197 with a score, then more from Alibaba.

#modelscorewhereRAMreleased
38HunyuanImage 3.0-Instruct Tencent62±3api $0.090/image +local~203GB2026-01
39Nano Banana (Gemini 2.5 Flash Image) Google62±1api $0.039/image2025-08
40Wan 2.7 Image Alibaba62±2api $0.030/image2026-04
41Imagen 4 Ultra Google61±2api $0.060/image2025-06
42GPT Image 1 OpenAI61±1api $0.042/image2025-04
more from Alibaba
11Qwen-Image-3.0-Pro Alibaba75±2api $0.040/image2026-07
18Qwen-Image-2.1 Alibaba69±2local~12GB2026-09
20Qwen-Image-2.0-Pro (2026-06-22) Alibaba67±2api $0.075/image2026-06

see all image models · find the ones that fit your machine

$ what it's good at

text to image▂▅▅▃▄▄█▃▁▂▁▁ #52 of 126 * · 46% of its score · 1 test

Trails Qwen-Image-2512, HunyuanImage 3.0, Z-Image (Base) here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena text-to-image1101.1 ✎▂▂▃▄▇█▄▂▄▂·▂ beats 25/75avg 1027▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 46%typical
image to image / editing▁▁·▃▂▃█▃▃▄▁▁ #25 of 62 * · 53% of its score · 2 tests

Beats FLUX.2 [max], FLUX.2 [pro], FLUX.2 [flex] here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
Edit-Compass (EN, overall)64.6% ✎▃▃▂·▃▆▂█·▃·▃ beats 18/20hard · avg 45%▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 36%at its level
Arena image edit1301.2 ✎▂▁▁▂▆▇█▄▆▅▁▂ beats 28/53avg 1153▇▇▇▇▇▇▇ 17%typical

$ where to run it

Through an API

api · Alibaba Cloud Model Studio · $0.030/image · www.alibabacloud.com ↗ · price sourceUSD per output image, Singapore (international) deployment; only output is billed; China (Beijing) lists $0.027504; wan2.7-image-pro $0.075. Free quota and promotions excluded. Product: Alibaba Cloud Model Studio image generation. API model: wan2.7-image. Settings: region=Singapore (international), n=1. Price basis: published list rate. Currency: USD. Alibaba Cloud official model pricing page, observed 2026-09-26.

$ how the score was worked out · LMArena leaderboard dataset 63%, Edit-Compass & EditReward-Com… 36%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
LMArena leaderboard dataset2▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 63%CC BY 4.0
Edit-Compass & EditReward-Compass: A Unified Benchmark for Image Editing and Reward Modeling1▇▇▇▇▇▇▇▇▇▇▇ 36%CC-BY-4.0
prior · pull toward the middle▇ 1%
weighted average= 61.7

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Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated · sources and licences · json